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@@ -11,50 +11,16 @@ model-index:
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  - task:
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  name: NER
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  type: token-classification
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- metrics:
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- - name: NER Precision
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- type: precision
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- value: 0.8417475728
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- - name: NER Recall
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- type: recall
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- value: 0.8414752507
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- - name: NER F Score
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- type: f_score
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- value: 0.8416113897
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- - task:
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- name: POS
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- type: token-classification
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- metrics:
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- - name: POS Accuracy
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- type: accuracy
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- value: 0.978748346
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- - task:
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- name: SENTER
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- type: token-classification
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- metrics:
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- - name: SENTER Precision
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- type: precision
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- value: 0.9842473746
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- - name: SENTER Recall
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- type: recall
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- value: 0.9871269748
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- - name: SENTER F Score
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- type: f_score
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- value: 0.9856850716
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- - task:
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- name: UNLABELED_DEPENDENCIES
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- type: token-classification
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- metrics:
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- - name: Unlabeled Dependencies Accuracy
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- type: accuracy
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- value: 0.9154911554
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- - task:
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- name: LABELED_DEPENDENCIES
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- type: token-classification
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- metrics:
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- - name: Labeled Dependencies Accuracy
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- type: accuracy
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- value: 0.9154911554
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  ---
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  ### Details: https://spacy.io/models/ca#ca_core_news_lg
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  - task:
12
  name: NER
13
  type: token-classification
14
+ metrics:
15
+ - name: NER Precision
16
+ type: precision
17
+ value: 0.8417475728
18
+ - name: NER Recall
19
+ type: recall
20
+ value: 0.8414752507
21
+ - name: NER F Score
22
+ type: f_score
23
+ value: 0.8416113897
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  ### Details: https://spacy.io/models/ca#ca_core_news_lg
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